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GLM-4.5 vs Muse Spark
GLM-4.5 (Z.ai (Zhipu AI),Tsinghua University) and Muse Spark (Meta AI) compared on benchmarks, pricing, context window, and use-case rankings.
- Muse Spark ranks higher for coding (79th vs 25th percentile).
| Attribute | GLM-4.5 | Muse Spark |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | — | 153 |
| Coding | 25 | 79 |
| Math | 15 | 66 |
| Reasoning & Knowledge | 26 | 84 |
| Agentic & Tools | 15 | 64 |
| Specifications | ||
| Developer | Z.ai (Zhipu AI),Tsinghua University | Meta AI |
| Family | — | — |
| Released | Aug 5, 2025 | Apr 8, 2026 |
| Parameters | 355B | — |
| Availability | Open weights (unrestricted) | API access |
| Context window | 131K | — |
| Price — $/M input | $0.60 | — |
| Price — $/M output | $2.20 | — |
| Inputs | text | — |
| Outputs | text | — |
| Benchmarks | ||
| AIME 2024/2025 | 74% | 89% |
| GPQA Diamond | 78% | 90% |
| Humanity's Last Exam | 8% | 41% |
| LiveCodeBench | 74% | — |
| MMLU-Pro | 84% | — |
| SciCode | 35% | 52% |
| WeirdML | 41% | — |
| τ²-bench | 43% | 92% |
| FrontierMath | — | 39% |
| FrontierMath Tier 4 | — | 15% |
| SimpleQA Verified | — | 66% |
| WebDev Arena | — | 1513 |
Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.
Frequently asked questions
Which is better for coding, GLM-4.5 or Muse Spark?
Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Muse Spark ranks higher — 79th vs 25th percentile among the models tracked on Model Beat.
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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.